Profiling Java applications in a Kubernetes cluster
2022-12-21
Posted by Ingo Kegel
This screencast shows how you can profile JVMs running in Kubernetes cluster with JProfiler. A profiling session with a note taking demo application sessions is started from the IDE, which provides additional benefits, like source code navigation and the automatic detection of profiled packages. Also, a standalone session is started, where an additional SSH connection is required to reach the kubectl command that can connect to the cluster.
Blog Archive
September/5
2022/10
Customizing telemetries in JProfilerWorking with probe events in JProfilerEnhanced JFR snapshot analysis with JProfilerRecording JFR snapshots with JProfilerGarbage collector analysis in JProfiler
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Profiling a Netty serverUsing flame graphs when profiling Java applicationsUsing sunburst diagrams for understanding Java memory consumption
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Finding JDBC connection leaksRemote profiling through an SSH tunnelCollapsing recursions in the call treeAnalyzing incoming and outgoing calls of a methodAnalyzing specific parts of the call tree
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Filtering in the reference view of the heap walkerHeap walker graph: Finding paths between selected instancesInspections in the heap walkerCreating a custom probeUsing the "Run interceptor script" trigger action
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CPU profiling: Sampling and instrumentationProbes overviewAnalyzing long-running AWT events with JProfilerRequest tracking
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